What You'll Do Avalara's Marketing Technology team is scaling its execution capabilities and expanding its AI capabilities to keep pace with a growing go-to-market engine. The systems that power campaign execution, lead lifecycle management, and marketing operations, Workfront, Marketo, and our leads pipeline, require strong, hands-on technical talent to build, maintain, and continuously improve them. This IC4 MarTech Engineer role is for a strong technical leader who can transition marketing capabilities from a digital marketing paradigm to an agentic marketing approach by integrating, automating, and configuring new agentic models and solutions across our enterprise capabilities, building reliable integrations, automating marketing workflows, and ensuring lead data flows accurately from capture to CRM handoff. What Your Responsibilities Will Be Build and maintain integrations between Marketo, Salesforce CRM, Workfront, and adjacent MarTech systems, delivering reliable, well-documented solutions. Engineer and optimize the lead lifecycle from capture and enrichment through scoring, routing, and CRM handoff, reducing lead leakage and improving data accuracy across the pipeline. Develop and maintain automation for campaign operations, asset management workflows in Workfront, and lead management processes in Marketo, replacing manual effort with reliable, auditable automation. Translate business requirements into technical solutions by working closely with Marketing Operations, Demand Generation, and Sales Operations to understand needs and deliver working solutions on time. Troubleshoot and resolve platform issues across Workfront, Marketo, and the leads pipeline, performing root cause analysis and implementing fixes that prevent recurrence. Write clean, maintainable code and configurations following team standards for API design, data handling, error management, and security best practices. Contribute to technical documentation by keeping integration maps, data flow diagrams, and runbooks current so the team can operate and onboard efficiently. Support peers through code reviews, knowledge sharing, and hands-on collaboration, raising the technical quality of the team's output. Monitor platform health and proactively flag performance issues, data anomalies, or integration failures before they impact marketing operations What You'll Need to be Successful Qualifications B.S. in Computer Science, Engineering, or a related technical discipline. 8+ years of hands-on experience in marketing technology, enterprise systems engineering, or a closely related technical discipline have recent hands-on work building AI/ML systems Solid hands-on experience with Marketo, including program setup, smart list logic, API integrations, lead lifecycle configuration, and data management. Hands-on experience with Adobe Workfront, including workflow configuration, template management, and automation for marketing or creative operations. Experience building and maintaining lead management pipelines, including capture, enrichment, deduplication, and scoring. Demonstrated production experience with LLMs, RAG pipelines, vector search/embeddings, or recommendation systems — not prototypes, but systems that served real traffic Proficiency in Python, SQL, and JavaScript/Node.js, with experience owning AWS Lambda data pipelines from design to deployment. Experience with cloud infrastructure (AWS) and modern ML tooling (e.g., MLflow, SageMaker, or equivalents) Bar Raiser Expectations This role is a Bar Raiser hire. The successful candidate will: Hold themselves and others to high standards of technical quality, data integrity, and operational accountability Demonstrate strong judgment when making platform and technical tradeoffs, especially those that affect campaign performance, lead data quality, or system reliability. Raise the performance of those around them through mentorship, rigorous code reviews, and clear documentation. Simplify complexity, translating ambiguous marketing requirements into clean, maintainable technical solutions. Challenge assumptions respectfully and bring data into technical decisions. Leave every system, process, and team they touch stronger than they found it. AI Expectations Avalara is an AI-first company. This role is expected to be an AI Bar Raiser, not a casual user of AI tools, but someone who embeds AI into how MarTech work gets done and elevates the AI capability of the team. Specifically, this role is expected to: Use AI to accelerate development and troubleshooting, including AI-assisted code generation, API debugging, and automated testing for MarTech integrations. Apply AI to lead intelligence, leveraging AI/ML-based lead scoring and intent signal processing to improve pipeline quality and Sales efficiency. Automate content and campaign operations using AI tools to reduce manual effort in asset creation, QA, and campaign setup within Marketo and Workfront. Identify and quantify AI-driven improvements, e.g., reduction in lead processing time, improvement in MQL-to-SQL conversion, or hours saved through intelligent workflow automation. Share AI best practices with the MarTech team and Marketing Operations, helping peers adopt AI tools responsibly and effectively. Apply AI responsibly, with awareness of data privacy, governance, and ethical use standards relevant to marketing data and customer information. Candidates who cannot demonstrate specific, measurable AI impact in prior roles do not meet Avalara's AI Bar Raiser standard. Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know. Build and maintain integrations between Marketo, Salesforce CRM, Workfront, and adjacent MarTech systems, delivering reliable, well-documented solutions. Engineer and optimize the lead lifecycle from capture and enrichment through scoring, routing, and CRM handoff, reducing lead leakage and improving data accuracy across the pipeline. Develop and maintain automation for campaign operations, asset management workflows in Workfront, and lead management processes in Marketo, replacing manual effort with reliable, auditable automation. Translate business requirements into technical solutions by working closely with Marketing Operations, Demand Generation, and Sales Operations to understand needs and deliver working solutions on time. Troubleshoot and resolve platform issues across Workfront, Marketo, and the leads pipeline, performing root cause analysis and implementing fixes that prevent recurrence. Write clean, maintainable code and configurations following team standards for API design, data handling, error management, and security best practices. Contribute to technical documentation by keeping integration maps, data flow diagrams, and runbooks current so the team can operate and onboard efficiently. Support peers through code reviews, knowledge sharing, and hands-on collaboration, raising the technical quality of the team's output. Monitor platform health and proactively flag performance issues, data anomalies, or integration failures before they impact marketing operations Qualifications B.S. in Computer Science, Engineering, or a related technical discipline. 8+ years of hands-on experience in marketing technology, enterprise systems engineering, or a closely related technical discipline have recent hands-on work building AI/ML systems Solid hands-on experience with Marketo, including program setup, smart list logic, API integrations, lead lifecycle configuration, and data management. Hands-on experience with Adobe Workfront, including workflow configuration, template management, and automation for marketing or creative operations. Experience building and maintaining lead management pipelines, including capture, enrichment, deduplication, and scoring. Demonstrated production experience with LLMs, RAG pipelines, vector search/embeddings, or recommendation systems — not prototypes, but systems that served real traffic Proficiency in Python, SQL, and JavaScript/Node.js, with experience owning AWS Lambda data pipelines from design to deployment. Experience with cloud infrastructure (AWS) and modern ML tooling (e.g., MLflow, SageMaker, or equivalents) Bar Raiser Expectations This role is a Bar Raiser hire. The successful candidate will: Hold themselves and others to high standards of technical quality, data integrity, and operational accountability Demonstrate strong judgment when making platform and technical tradeoffs, especially those that affect campaign performance, lead data quality, or system reliability. Raise the performance of those around them through mentorship, rigorous code reviews, and clear documentation. Simplify complexity, translating ambiguous marketing requirements into clean, maintainable technical solutions. Challenge assumptions respectfully and bring data into technical decisions. Leave every system, process, and team they touch stronger than they found it. AI Expectations Avalara is an AI-first company. This role is expected to be an AI Bar Raiser, not a casual user of AI tools, but someone who embeds AI into how MarTech work gets done and elevates the AI capability of the team. Specifically, this role is expected to: Use AI to accelerate development and troubleshooting, including AI-assisted code generation, API debugging, and automated testing for MarTech integrations. Apply AI to lead intelligence, leveraging AI/ML-based lead scoring and intent signal processing to improve pipeline quality and Sales efficiency. Automate content and campaign operations using AI tools to reduce manual effort in asset creation, QA, and campaign setup within Marketo and Workfront. Identify and quantify AI-driven improvements, e.g., reduction in lead processing time, improvement in MQL-to-SQL conversion, or hours saved through intelligent workflow automation. Share AI best practices with the MarTech team and Marketing Operations, helping peers adopt AI tools responsibly and effectively. Apply AI responsibly, with awareness of data privacy, governance, and ethical use standards relevant to marketing data and customer information. Candidates who cannot demonstrate specific, measurable AI impact in prior roles do not meet Avalara's AI Bar Raiser standard.
